TY - GEN
T1 - A layered after-sale quality evaluation model based on improved artificial neural network
AU - Li, Jichao
AU - Shi, Haobin
AU - Li, Xinru
AU - Xu, Meng
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/12/8
Y1 - 2018/12/8
N2 - In this paper, a model of quality evaluation of after-sale service based on improved artificial neural network is proposed. This model applies an improved analytic hierarchy process to determine the weight of the evaluation index system, and then employs the artificial neural network to evaluate the after-sale service quality. Aiming at the problem that the classical BP neural network has slow convergence speed and low learning efficiency, this paper uses an accelerated BP neural network learning algorithm based on momentum constants. Compared with the classical BP neural network, the accelerated neural network in this paper has higher learning efficiency. Finally, through the evaluation experiment of the automobile service quality, the evaluation model of service quality can be used to evaluate the quality of the After-sale service, which provides the scientific and effective guidance for the evaluation of the service quality of the automobile.
AB - In this paper, a model of quality evaluation of after-sale service based on improved artificial neural network is proposed. This model applies an improved analytic hierarchy process to determine the weight of the evaluation index system, and then employs the artificial neural network to evaluate the after-sale service quality. Aiming at the problem that the classical BP neural network has slow convergence speed and low learning efficiency, this paper uses an accelerated BP neural network learning algorithm based on momentum constants. Compared with the classical BP neural network, the accelerated neural network in this paper has higher learning efficiency. Finally, through the evaluation experiment of the automobile service quality, the evaluation model of service quality can be used to evaluate the quality of the After-sale service, which provides the scientific and effective guidance for the evaluation of the service quality of the automobile.
KW - After-sales service quality evaluation
KW - Analytic hierarchy process
KW - Momentum constants
KW - Neural network
UR - http://www.scopus.com/inward/record.url?scp=85062782443&partnerID=8YFLogxK
U2 - 10.1145/3297156.3297161
DO - 10.1145/3297156.3297161
M3 - 会议稿件
AN - SCOPUS:85062782443
T3 - ACM International Conference Proceeding Series
SP - 46
EP - 51
BT - Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, CSAI 2018 - 2018 the 10th International Conference on Information and Multimedia Technology, ICIMT 2018
PB - Association for Computing Machinery
T2 - 2nd International Conference on Computer Science and Artificial Intelligence, CSAI 2018
Y2 - 8 December 2018 through 10 December 2018
ER -